TY - JOUR
T1 - Custom built of smart computing platform for supporting optimization methods and artificial intelligence research
AU - Sugiarto, Indar
AU - Prayogo, Doddy
AU - Palit, Henry
AU - Pasila, Felix
AU - Lim, Resmana
AU - Noertjahyana, Agustinus
AU - Widyadana, I. Gede
AU - Hermawan, Surya
AU - Gumelar, Agustinus Bimo
AU - Yahya, Bernardo Nugroho
N1 - Publisher Copyright:
© Pakistan Academy of Sciences.
PY - 2021/10/7
Y1 - 2021/10/7
N2 - This paper describes a prototype of a computing platform dedicated to artificial intelligence explorations. The platform, dubbed as PakCarik, is essentially a high throughput computing platform with GPU (graphics processing units) acceleration. PakCarik is an Indonesian acronym for Platform Komputasi Cerdas Ramah Industri Kreatif, which can be translated as “Creative Industry friendly Intelligence Computing Platform”. This platform aims to provide complete development and production environment for AI-based projects, especially to those that rely on machine learning and multiobjective optimization paradigms. The method for constructing PakCarik was based on a computer hardware assembling technique that uses commercial off-the-shelf hardware and was tested on several AI-related application scenarios. The testing methods in this experiment include: high-performance lapack (HPL) benchmarking, message passing interface (MPI) benchmarking, and TensorFlow (TF) benchmarking. From the experiment, the authors can observe that PakCarik's performance is quite similar to the commonly used cloud computing services such as Google Compute Engine and Amazon EC2, even though falls a bit behind the dedicated AI platform such as Nvidia DGX-1 used in the benchmarking experiment. Its maximum computing performance was measured at 326 Gflops. The authors conclude that PakCarik is ready to be deployed in real-world applications and it can be made even more powerful by adding more GPU cards in it.
AB - This paper describes a prototype of a computing platform dedicated to artificial intelligence explorations. The platform, dubbed as PakCarik, is essentially a high throughput computing platform with GPU (graphics processing units) acceleration. PakCarik is an Indonesian acronym for Platform Komputasi Cerdas Ramah Industri Kreatif, which can be translated as “Creative Industry friendly Intelligence Computing Platform”. This platform aims to provide complete development and production environment for AI-based projects, especially to those that rely on machine learning and multiobjective optimization paradigms. The method for constructing PakCarik was based on a computer hardware assembling technique that uses commercial off-the-shelf hardware and was tested on several AI-related application scenarios. The testing methods in this experiment include: high-performance lapack (HPL) benchmarking, message passing interface (MPI) benchmarking, and TensorFlow (TF) benchmarking. From the experiment, the authors can observe that PakCarik's performance is quite similar to the commonly used cloud computing services such as Google Compute Engine and Amazon EC2, even though falls a bit behind the dedicated AI platform such as Nvidia DGX-1 used in the benchmarking experiment. Its maximum computing performance was measured at 326 Gflops. The authors conclude that PakCarik is ready to be deployed in real-world applications and it can be made even more powerful by adding more GPU cards in it.
KW - Artificial Intelligence
KW - Graphics Processing Unit Accelerator
KW - High Throughput Computing
KW - Machine Learning
KW - Multi-objective Optimization
UR - http://www.scopus.com/inward/record.url?scp=85117531229&partnerID=8YFLogxK
U2 - 10.53560/PPASA(58-sp1)733
DO - 10.53560/PPASA(58-sp1)733
M3 - Article
AN - SCOPUS:85117531229
SN - 2518-4245
VL - 58
SP - 59
EP - 64
JO - Proceedings of the Pakistan Academy of Sciences: Part A
JF - Proceedings of the Pakistan Academy of Sciences: Part A
IS - S
M1 - ES-733
ER -